Gait Measurement and Analysis System Based on Three-dimensional Lidar
Existing gait measurement systems face challenges such as low measurement accuracy,limited space re-quirements,strict wearing conditions,singular gait parameters,and difficulties in feature extraction.This study employs three-dimensional laser radar for gait parameter measurement.A point cloud data analysis algorithm,core to which is data classification based on distance and threshold determination,and least squares data fitting,processes the collected three-dimensional spatial data to calculate gait parameters.Initially,the effectiveness of the sensor is validated through a compar-ative experiment between an optical motion capture system and the laser radar sensor measurement system.Experimental data indicates that the spatial parameter average error is less than 5%,and the temporal parameter average error is less than 10%,demonstrating high measurement accuracy.Subsequently,gait data from multiple subjects is collected,and key gait features such as step length,step width,walking cycle,and ankle joint angle are extracted.
万方数据
维普
